CAPS produces realtime high-resolution weather
analyses and forecasts throughout the year and enhanced forecasts
during the spring storm season.

Ensemble Forecasts for Hazardous Weather Testbed (HWT) & HMT

Between May 2 and June 3, 2016,
CAPS is producing 24-member,
3-km-resolution,
WRF-ARW and NMMB Storm-Scale
Ensemble Forecasts (SSEF) for the full continental U.S. (CONUS)
domain, assimilating radial
velocity and reflectivity data from over 140 WSR-88D radars
and other available observations using the single-time (non-cycled)
ARPS 3DVAR with complex cloud analysis system.
The daily 60-hour-long forecasts
(some ARW and all NMMB members run 36-h) are initialized at 00 UTC (7pm CDT). These forecasts are produced on
NSF Xsede Supercomputer
Stampede of TACC,
a Dell C8220 supercomputer system, at the University of Texas at Austin.
This system is referred to as
'3DVAR-based ensemble'. Between June 20 and July 22, a 15-member SSEF is produced to support the 2016 HMT FFaIR experiment.

Separately, cycled GSI + ensemble Kalman filter (EnKF) data assimilation is performed on the same 3-km CONUS grid. The 40 member ensemble is initialized at 1800 UTC each day, and assimilate
the RAP/HRRR GSI data stream hourly (1900-0000 UTC) with all WSR-88D
radar data over a one-hour period (2300-0000 UTC) at 15 minute intervals.
A total of 13 forecasts of 60 hour long are produced from the final
0000 UTC analyses using WRF-ARW. These forecasts are produced using
another NSF XSEDE supercomputer,
Darter a Cray XC30,
operated by NICS
at the University of Tennessee. This system is referred to as
'GSI+EnKF-based ensemble'.

CAPS is producing realtime
400-m-resolution low-level wind analyses that are updated every 5 min for
CASA Spring Experiment.
Available CASA and other sources of data are going into
the analyses. Furthermore, up to 2-hour-long Very-Short-Range NWP forecasts
at a 1-km resolution are produced every 20 minutes when active weather exists
within the CASA Oklahoma network. CASA analysis and forecasts are produced
on OSCER's Boomer system at the
University of Oklahoma, using nearly 2000 processor cores.